# Introduction:
Department

Here are preliminary results of the bibliometric mapping of the 2022 Luxembourg research evaluation. Its purpose is:

The method for the research-field-mapping can be reiviewed here:

Rakas, M., & Hain, D. S. (2019). The state of innovation system research: What happens beneath the surface?. Research Policy, 48(9), 103787.

Topic modelling

Topics by topwords

Topics over time

Knowledge Bases: Co-Citation network analysis

Note: This analysis refers the co-citation analysis, where the cited references and not the original publications are the unit of analysis. See tab Technical descriptionfor additional explanations

Knowledge Bases summary

Main Indicators

In order to partition networks into components or clusters, we deploy a community detection technique based on the Lovain Algorithm (Blondel et al., 2008). The Lovain Algorithm is a heuristic method that attempts to optimize the modularity of communities within a network by maximizing within- and minimizing between-community connectivity. We identify the following communities = knowledge bases.

com name dgr_int dgr
Knowledge Base 1: KB 1
1 RAPOSO G. STOORVOGEL W. EXTRACELLULAR VESICLES: EXOSOMES MICROVESICLES AND FRIENDS (2013) 16828 17297
1 VALADI H. EKSTROM K. BOSSIOS A. SJOSTRAND M. LEE J.J. LOTVALL J.O. EXOSOME-MEDIATED TRANSFER OF MRNAS AND MICRORNAS IS A NOVEL MECHANISM OF GENETIC… 9851 10011
1 TRAJKOVIC K. HSU C. CHIANTIA S. RAJENDRAN L. WENZEL D. WIELAND F. SCHWILLE P. SIMONS M. CERAMIDE TRIGGERS BUDDING OF EXOSOME VESICLES INTO MULTIVES… 8374 8446
1 VALADI H. EKSTRÖM K. BOSSIOS A. SJÖSTRAND M. LEE J.J. LÖTVALL J.O. EXOSOME-MEDIATED TRANSFER OF MRNAS AND MICRORNAS IS A NOVEL MECHANISM OF GENETIC… 7018 7106
1 COLOMBO M. RAPOSO G. THERY C. BIOGENESIS SECRETION AND INTERCELLULAR INTERACTIONS OF EXOSOMES AND OTHER EXTRACELLULAR VESICLES (2014) 6392 6559
1 TAYLOR D.D. GERCEL-TAYLOR C. MICRORNA SIGNATURES OF TUMOR-DERIVED EXOSOMES AS DIAGNOSTIC BIOMARKERS OF OVARIAN CANCER (2008) 6004 6078
1 RAPOSO G. NIJMAN H.W. STOORVOGEL W. LIEJENDEKKER R. HARDING C.V. MELIEF C.J. GEUZE H.J. B LYMPHOCYTES SECRETE ANTIGEN-PRESENTING VESICLES (1996) 5666 5723
1 JOHNSTONE R.M. ADAM M. HAMMOND J.R. ORR L. TURBIDE C. VESICLE FORMATION DURING RETICULOCYTE MATURATION. ASSOCIATION OF PLASMA MEMBRANE ACTIVITIES W… 5486 5543
1 ROBBINS P.D. MORELLI A.E. REGULATION OF IMMUNE RESPONSES BY EXTRACELLULAR VESICLES (2014) 4867 5016
1 HOOD J.L. SAN R.S. WICKLINE S.A. EXOSOMES RELEASED BY MELANOMA CELLS PREPARE SENTINEL LYMPH NODES FOR TUMOR METASTASIS (2011) 4790 4935
Knowledge Base 2: KB 2
2 COX J. MANN M. MAXQUANT ENABLES HIGH PEPTIDE IDENTIFICATION RATES INDIVIDUALIZED P.P.B.-RANGE MASS ACCURACIES AND PROTEOME-WIDE PROTEIN QUANTIFICAT… 9462 9646
2 COX J. NEUHAUSER N. MICHALSKI A. SCHELTEMA R.A. OLSEN J.V. MANN M. ANDROMEDA: A PEPTIDE SEARCH ENGINE INTEGRATED INTO THE MAXQUANT ENVIRONMENT (2011) 3788 3809
2 COX J. HEIN M.Y. LUBER C.A. PARON I. NAGARAJ N. MANN M. ACCURATE PROTEOME-WIDE LABEL-FREE QUANTIFICATION BY DELAYED NORMALIZATION AND MAXIMAL PEPTI… 3567 3595
2 TYANOVA S. TEMU T. SINITCYN P. CARLSON A. HEIN M.Y. GEIGER T. MANN M. COX J. THE PERSEUS COMPUTATIONAL PLATFORM FOR COMPREHENSIVE ANALYSIS OF (PROTE) 2626 2642
2 RAPPSILBER J. MANN M. ISHIHAMA Y. PROTOCOL FOR MICRO-PURIFICATION ENRICHMENT PRE-FRACTIONATION AND STORAGE OF PEPTIDES FOR PROTEOMICS USING STAGETI… 2422 2446
2 PETERSON A.C. RUSSELL J.D. BAILEY D.J. WESTPHALL M.S. COON J.J. PARALLEL REACTION MONITORING FOR HIGH RESOLUTION AND HIGH MASS ACCURACY QUANTITATIV… 2231 2242
2 MACLEAN B. TOMAZELA D.M. SHULMAN N. CHAMBERS M. FINNEY G.L. FREWEN B. KERN R. MACCOSS M.J. SKYLINE: AN OPEN SOURCE DOCUMENT EDITOR FOR CREATING AND… 2183 2189
2 AEBERSOLD R. MANN M. MASS-SPECTROMETRIC EXPLORATION OF PROTEOME STRUCTURE AND FUNCTION (2016) 1808 1814
2 PICOTTI P. AEBERSOLD R. SELECTED REACTION MONITORING-BASED PROTEOMICS: WORKFLOWS POTENTIAL PITFALLS AND FUTURE DIRECTIONS (2012) 1498 1507
2 LANGE V. PICOTTI P. DOMON B. AEBERSOLD R. SELECTED REACTION MONITORING FOR QUANTITATIVE PROTEOMICS: A TUTORIAL (2008) 1427 1432
Knowledge Base 3: KB 3
3 HANAHAN D. WEINBERG R.A. HALLMARKS OF CANCER: THE NEXT GENERATION (2011) 3354 9690
3 PARDOLL D.M. THE BLOCKADE OF IMMUNE CHECKPOINTS IN CANCER IMMUNOTHERAPY (2012) 1969 2544
3 SHARMA P. ALLISON J.P. THE FUTURE OF IMMUNE CHECKPOINT THERAPY (2015) 1553 1704
3 TOPALIAN S.L. DRAKE C.G. PARDOLL D.M. IMMUNE CHECKPOINT BLOCKADE: A COMMON DENOMINATOR APPROACH TO CANCER THERAPY (2015) 832 1099
3 WILSON W.R. HAY M.P. TARGETING HYPOXIA IN CANCER THERAPY (2011) 823 861
3 KEIR M.E. BUTTE M.J. FREEMAN G.J. SHARPE A.H. PD-1 AND ITS LIGANDS IN TOLERANCE AND IMMUNITY (2008) 816 867
3 BARSOUM I.B. SMALLWOOD C.A. SIEMENS D.R. GRAHAM C.H. A MECHANISM OF HYPOXIA-MEDIATED ESCAPE FROM ADAPTIVE IMMUNITY IN CANCER CELLS (2014) 714 729
3 CHEN J. JIANG C.C. JIN L. ZHANG X.D. REGULATION OF PD-L1: A NOVEL ROLE OF PRO-SURVIVAL SIGNALLING IN CANCER (2016) 674 674
3 QUAIL D.F. JOYCE J.A. MICROENVIRONMENTAL REGULATION OF TUMOR PROGRESSION AND METASTASIS (2013) 668 2138
3 ISHIDA Y. AGATA Y. SHIBAHARA K. HONJO T. INDUCED EXPRESSION OF PD-1 A NOVEL MEMBER OF THE IMMUNOGLOBULIN GENE SUPERFAMILY UPON PROGRAMMED CELL DEAT… 537 554
Knowledge Base 4: KB 4
4 LEVY J.M.M. TOWERS C.G. THORBURN A. TARGETING AUTOPHAGY IN CANCER (2017) 3527 3622
4 WHITE E. DECONVOLUTING THE CONTEXT-DEPENDENT ROLE FOR AUTOPHAGY IN CANCER (2012) 2776 2841
4 WHITE E. THE ROLE FOR AUTOPHAGY IN CANCER (2015) 2414 2478
4 YUE Z. JIN S. YANG C. LEVINE A.J. HEINTZ N. BECLIN 1 AN AUTOPHAGY GENE ESSENTIAL FOR EARLY EMBRYONIC DEVELOPMENT IS A HAPLOINSUFFICIENT TUMOR SUPPR… 1886 1905
4 LIANG X.H. JACKSON S. SEAMAN M. BROWN K. KEMPKES B. HIBSHOOSH H. LEVINE B. INDUCTION OF AUTOPHAGY AND INHIBITION OF TUMORIGENESIS BY BECLIN 1 (1999) 1811 1826
4 AMARAVADI R. KIMMELMAN A.C. WHITE E. RECENT INSIGHTS INTO THE FUNCTION OF AUTOPHAGY IN CANCER (2016) 1786 1804
4 KIMMELMAN A.C. WHITE E. AUTOPHAGY AND TUMOR METABOLISM (2017) 1768 1791
4 KIM J. KUNDU M. VIOLLET B. GUAN K.L. AMPK AND MTOR REGULATE AUTOPHAGY THROUGH DIRECT PHOSPHORYLATION OF ULK1 (2011) 1762 1786
4 MIZUSHIMA N. KOMATSU M. AUTOPHAGY: RENOVATION OF CELLS AND TISSUES (2011) 1723 1748
4 MIZUSHIMA N. YOSHIMORI T. OHSUMI Y. THE ROLE OF ATG PROTEINS IN AUTOPHAGOSOME FORMATION (2011) 1570 1583
Knowledge Base 5: KB 5
5 VERHAAK R.G. HOADLEY K.A. PURDOM E. WANG V. QI Y. WILKERSON M.D. MILLER C.R. MESIROV J.P. INTEGRATED GENOMIC ANALYSIS IDENTIFIES CLINICALLY RELEVAN… 2238 2327
5 COMPREHENSIVE GENOMIC CHARACTERIZATION DEFINES HUMAN GLIOBLASTOMA GENES AND CORE PATHWAYS (2008) 2146 2324
5 LOUIS D.N. PERRY A. REIFENBERGER G. VON DEIMLING A. FIGARELLA-BRANGER D. CAVENEE W.K. OHGAKI H. ELLISON D.W. THE 2016 WORLD HEALTH ORGANIZATION CLA… 1895 2030
5 PATEL A.P. TIROSH I. TROMBETTA J.J. SHALEK A.K. GILLESPIE S.M. WAKIMOTO H. CAHILL D.P. MARTUZA R.L. SINGLE-CELL RNA-SEQ HIGHLIGHTS INTRATUMORAL HET… 1589 1703
5 BRENNAN C.W. THE SOMATIC GENOMIC LANDSCAPE OF GLIOBLASTOMA (2013) 1338 1447
5 BRENNAN C.W. VERHAAK R.G. MCKENNA A. CAMPOS B. NOUSHMEHR H. SALAMA S.R. ZHENG S. BERMAN S.H. THE SOMATIC GENOMIC LANDSCAPE OF GLIOBLASTOMA (2013) 1211 1277
5 STUPP R. MASON W.P. VAN DEN BENT M.J. WELLER M. FISHER B. TAPHOORN M.J. BELANGER K. BOGDAHN U. RADIOTHERAPY PLUS CONCOMITANT AND ADJUVANT TEMOZOLOM… 1189 1282
5 VERHAAK R.G. INTEGRATED GENOMIC ANALYSIS IDENTIFIES CLINICALLY RELEVANT SUBTYPES OF GLIOBLASTOMA CHARACTERIZED BY ABNORMALITIES IN PDGFRA IDH1 EGFR… 1147 1234
5 PATEL A.P. SINGLE-CELL RNA-SEQ HIGHLIGHTS INTRATUMORAL HETEROGENEITY IN PRIMARY GLIOBLASTOMA (2014) 1141 1215
5 BAO S. WU Q. MCLENDON R.E. HAO Y. SHI Q. HJELMELAND A.B. DEWHIRST M.W. RICH J.N. GLIOMA STEM CELLS PROMOTE RADIORESISTANCE BY PREFERENTIAL ACTIVATI… 1113 1151
Knowledge Base 6: KB 6
6 KAUFMAN H.L. KOHLHAPP F.J. ZLOZA A. ONCOLYTIC VIRUSES: A NEW CLASS OF IMMUNOTHERAPY DRUGS (2015) 3039 3383
6 RUSSELL S.J. PENG K.W. BELL J.C. ONCOLYTIC VIROTHERAPY (2012) 1889 2014
6 LICHTY B.D. BREITBACH C.J. STOJDL D.F. BELL J.C. GOING VIRAL WITH CANCER IMMUNOTHERAPY (2014) 1530 1712
6 BOMMAREDDY P.K. SHETTIGAR M. KAUFMAN H.L. INTEGRATING ONCOLYTIC VIRUSES IN COMBINATION CANCER IMMUNOTHERAPY (2018) 1201 1370
6 KELLY E. RUSSELL S.J. HISTORY OF ONCOLYTIC VIRUSES: GENESIS TO GENETIC ENGINEERING (2007) 1200 1271
6 ANDTBACKA R.H. KAUFMAN H.L. COLLICHIO F. AMATRUDA T. SENZER N. CHESNEY J. DELMAN K.A. AGARWALA S.S. TALIMOGENE LAHERPAREPVEC IMPROVES DURABLE RESPO… 1102 1182
6 RIBAS A. DUMMER R. PUZANOV I. VANDERWALDE A. ANDTBACKA R.H.I. MICHIELIN O. OLSZANSKI A.J. FERNANDEZ E. ONCOLYTIC VIROTHERAPY PROMOTES INTRATUMORAL … 998 1095
6 ZAMARIN D. HOLMGAARD R.B. SUBUDHI S.K. PARK J.S. MANSOUR M. PALESE P. MERGHOUB T. ALLISON J.P. LOCALIZED ONCOLYTIC VIROTHERAPY OVERCOMES SYSTEMIC T… 888 954
6 KAUFMAN H.L. KIM D.W. DERAFFELE G. MITCHAM J. COFFIN R.S. KIM-SCHULZE S. LOCAL AND DISTANT IMMUNITY INDUCED BY INTRALESIONAL VACCINATION WITH AN ON… 765 798
6 LIU Z. RAVINDRANATHAN R. KALINSKI P. GUO Z.S. BARTLETT D.L. RATIONAL COMBINATION OF ONCOLYTIC VACCINIA VIRUS AND PD-L1 BLOCKADE WORKS SYNERGISTICAL… 732 823

Development of Knowledge Bases

Technical description

In a co-cittion network, the strength of the relationship between a reference pair \(m\) and \(n\) (\(s_{m,n}^{coc}\)) is expressed by the number of publications \(C\) which are jointly citing reference \(m\) and \(n\).

\[s_{m,n}^{coc} = \sum_i c_{i,m} c_{i,n}\]

The intuition here is that references which are frequently cited together are likely to share commonalities in theory, topic, methodology, or context. It can be interpreted as a measure of similarity as evaluated by other researchers that decide to jointly cite both references. Because the publication process is time-consuming, co-citation is a backward-looking measure, which is appropriate to map the relationship between core literature of a field.

Research Areas: Bibliographic coupling analysis

Research Areas main summary

This is arguably the more interesting part. Here, we identify the literature’s current knowledge frontier by carrying out a bibliographic coupling analysis of the publications in our corpus. This measure uses bibliographical information of publications to establish a similarity relationship between them. Again, method details to be found in the tab Technical description. As you will see, we identify the main research area, but also a set of adjacent research areas with some theoretical/methodological/application overlap.

Main Characteristics

To identify communities in the field’s knowledge frontier (labeled research areas) we again use the Lovain Algorithm (Blondel et al., 2008). We identify the following communities = research areas.

Categorization

I up to now gain only provide the 10 most central articles, which can be used to classify them

com_name AU PY TI dgr_int TC TC_year
Research Area 1: RA 1
RA 1 VAN NIEL G;D’ANGELO G;… 2018 SHEDDING LIGHT ON THE CELL BIOLOGY OF EXTRACELLULAR VESICLES 10.7706263 2601 650.250000
RA 1 BECKER A;THAKUR BK;WEI… 2016 EXTRACELLULAR VESICLES IN CANCER: CELL-TO-CELL MEDIATORS OF METASTASIS 19.9317297 910 151.666667
RA 1 KALLURI R 2016 THE BIOLOGY AND FUNCTION OF EXOSOMES IN CANCER 18.1230708 899 149.833333
RA 1 HESSVIK NP;LLORENTE A 2018 CURRENT KNOWLEDGE ON EXOSOME BIOGENESIS AND RELEASE 14.2751228 1018 254.500000
RA 1 KALLURI R;LEBLEU VS 2020 THE BIOLOGY, FUNCTION, AND BIOMEDICAL APPLICATIONS OF EXOSOMES 7.8796943 1596 798.000000
RA 1 KOWAL J;ARRAS G;COLOMB… 2016 PROTEOMIC COMPARISON DEFINES NOVEL MARKERS TO CHARACTERIZE HETEROGENEOUS POPULATIONS OF EXTRACELLULAR VESICLE SUBTYPES 6.8356380 1696 282.666667
RA 1 LI P;KASLAN M;LEE SH;Y… 2017 PROGRESS IN EXOSOME ISOLATION TECHNIQUES 12.1482033 828 165.600000
RA 1 MATHIEU M;MARTIN-JAULA… 2019 SPECIFICITIES OF SECRETION AND UPTAKE OF EXOSOMES AND OTHER EXTRACELLULAR VESICLES FOR CELL-TO-CELL COMMUNICATION 7.4320003 1262 420.666667
RA 1 WHITESIDE TL 2016 TUMOR-DERIVED EXOSOMES AND THEIR ROLE IN CANCER PROGRESSION 20.7376121 372 62.000000
RA 1 ABELS ER;BREAKEFIELD XO 2016 INTRODUCTION TO EXTRACELLULAR VESICLES: BIOGENESIS, RNA CARGO SELECTION, CONTENT, RELEASE, AND UPTAKE 9.5795835 668 111.333333
Research Area 2: RA 2
RA 2 MANTOVANI A;MARCHESI F… 2017 TUMOUR-ASSOCIATED MACROPHAGES AS TREATMENT TARGETS IN ONCOLOGY 2.1656637 1598 319.600000
RA 2 FARKONA S;DIAMANDIS EP… 2016 CANCER IMMUNOTHERAPY: THE BEGINNING OF THE END OF CANCER? 3.9596194 628 104.666667
RA 2 HARATANI K;HAYASHI H;C… 2018 ASSOCIATION OF IMMUNE-RELATED ADVERSE EVENTS WITH NIVOLUMAB EFFICACY IN NON-SMALL CELL LUNG CANCER 4.6323779 513 128.250000
RA 2 SUN C;MEZZADRA R;SCHUM… 2018 REGULATION AND FUNCTION OF THE PD-L1 CHECKPOINT 2.7707150 758 189.500000
RA 2 HE C;DUAN X;GUO N;CHAN… 2016 CORE-SHELL NANOSCALE COORDINATION POLYMERS COMBINE CHEMOTHERAPY AND PHOTODYNAMIC THERAPY TO POTENTIATE CHECKPOINT BLOCKADE… 3.5021031 472 78.666667
RA 2 PFIRSCHKE C;ENGBLOM C;… 2016 IMMUNOGENIC CHEMOTHERAPY SENSITIZES TUMORS TO CHECKPOINT BLOCKADE THERAPY 2.8114301 524 87.333333
RA 2 HUGO W;ZARETSKY JM;SUN… 2016 GENOMIC AND TRANSCRIPTOMIC FEATURES OF RESPONSE TO ANTI-PD-1 THERAPY IN METASTATIC MELANOMA 0.9741321 1482 247.000000
RA 2 SMYTH MJ;NGIOW SF;RIBA… 2016 COMBINATION CANCER IMMUNOTHERAPIES TAILORED TO THE TUMOUR MICROENVIRONMENT 2.4663269 556 92.666667
RA 2 YANG W;BAI Y;XIONG Y;Z… 2016 POTENTIATING THE ANTITUMOUR RESPONSE OF CD8+ T CELLS BY MODULATING CHOLESTEROL METABOLISM 2.7820440 388 64.666667
RA 2 ADVANI R;FLINN I;POPPL… 2018 CD47 BLOCKADE BY HU5F9-G4 AND RITUXIMAB IN NON-HODGKIN’S LYMPHOMA 2.3381007 456 114.000000
Research Area 3: RA 3
RA 3 GEIGER R;RIECKMANN JC;… 2016 L-ARGININE MODULATES T CELL METABOLISM AND ENHANCES SURVIVAL AND ANTI-TUMOR ACTIVITY 12.4216821 622 103.666667
RA 3 GEYER PE;KULAK NA;PICH… 2016 PLASMA PROTEOME PROFILING TO ASSESS HUMAN HEALTH AND DISEASE 18.4423742 334 55.666667
RA 3 MEIER F;BRUNNER A-D;KO… 2018 ONLINE PARALLEL ACCUMULATION–SERIAL FRAGMENTATION (PASEF) WITH A NOVEL TRAPPED ION MOBILITY MASS SPECTROMETER 15.9971208 253 63.250000
RA 3 WHITHAM M;PARKER BL;FR… 2018 EXTRACELLULAR VESICLES PROVIDE A MEANS FOR TISSUE CROSSTALK DURING EXERCISE 15.5413869 249 62.250000
RA 3 STEGER M;DIEZ F;DHEKNE… 2017 SYSTEMATIC PROTEOMIC ANALYSIS OF LRRK2-MEDIATED RAB GTPASE PHOSPHORYLATION ESTABLISHES A CONNECTION TO CILIOGENESIS 18.7855021 184 36.800000
RA 3 ITZHAK DN;TYANOVA S;CO… 2016 GLOBAL, QUANTITATIVE AND DYNAMIC MAPPING OF PROTEIN SUBCELLULAR LOCALIZATION 11.4058547 272 45.333333
RA 3 SCHROEDER BO;BIRCHENOU… 2018 BIFIDOBACTERIA OR FIBER PROTECTS AGAINST DIET-INDUCED MICROBIOTA-MEDIATED COLONIC MUCUS DETERIORATION 10.4181668 287 71.750000
RA 3 GRASSL N;KULAK NA;PICH… 2016 ULTRA-DEEP AND QUANTITATIVE SALIVA PROTEOME REVEALS DYNAMICS OF THE ORAL MICROBIOME 23.4399266 122 20.333333
RA 3 BACHE N;GEYER PE;BEKKE… 2018 A NOVEL LC SYSTEM EMBEDS ANALYTES IN PRE-FORMED GRADIENTS FOR RAPID, ULTRA-ROBUST PROTEOMICS 23.9343053 110 27.500000
RA 3 BONFIGLIO JJ;FONTANA P… 2017 SERINE ADP-RIBOSYLATION DEPENDS ON HPF1 16.2382363 157 31.400000
Research Area 4: RA 4
RA 4 TYANOVA S;TEMU T;COX J 2016 THE MAXQUANT COMPUTATIONAL PLATFORM FOR MASS SPECTROMETRY-BASED SHOTGUN PROTEOMICS 8.3395346 1502 250.333333
RA 4 TYANOVA S;TEMU T;SINIT… 2016 THE PERSEUS COMPUTATIONAL PLATFORM FOR COMPREHENSIVE ANALYSIS OF (PROTE)OMICS DATA 3.1587214 2960 493.333333
RA 4 AEBERSOLD R;MANN M 2016 MASS-SPECTROMETRIC EXPLORATION OF PROTEOME STRUCTURE AND FUNCTION 7.5613689 988 164.666667
RA 4 VIZCAÍNO JA;CSORDAS A;… 2016 2016 UPDATE OF THE PRIDE DATABASE AND ITS RELATED TOOLS 1.7302342 2696 449.333333
RA 4 LUDWIG C;GILLET L;ROSE… 2018 DATA-INDEPENDENT ACQUISITION-BASED SWATH-MS FOR QUANTITATIVE PROTEOMICS: A TUTORIAL 6.6500287 353 88.250000
RA 4 KLAEGER S;HEINZLMEIR S… 2017 THE TARGET LANDSCAPE OF CLINICAL KINASE DRUGS 5.6807506 370 74.000000
RA 4 HOLDT LM;STAHRINGER A;… 2016 CIRCULAR NON-CODING RNA ANRIL MODULATES RIBOSOMAL RNA MATURATION AND ATHEROSCLEROSIS IN HUMANS 3.1366385 614 102.333333
RA 4 MEIER F;GEYER PE;VIRRE… 2018 BOXCAR ACQUISITION METHOD ENABLES SINGLE-SHOT PROTEOMICS AT A DEPTH OF 10,000 PROTEINS IN 100 MINUTES 6.0603282 191 47.750000
RA 4 GEYER PE;HOLDT LM;TEUP… 2017 REVISITING BIOMARKER DISCOVERY BY PLASMA PROTEOMICS 3.6068219 318 63.600000
RA 4 RIECKMANN JC;GEIGER R;… 2017 SOCIAL NETWORK ARCHITECTURE OF HUMAN IMMUNE CELLS UNVEILED BY QUANTITATIVE PROTEOMICS 6.5479199 171 34.200000
Research Area 5: RA 5
RA 5 LEVY JMM;TOWERS CG;THO… 2017 TARGETING AUTOPHAGY IN CANCER 4.4840254 1171 234.200000
RA 5 KIMMELMAN AC;WHITE E 2017 AUTOPHAGY AND TUMOR METABOLISM 7.8521501 441 88.200000
RA 5 AMARAVADI R;KIMMELMAN … 2016 RECENT INSIGHTS INTO THE FUNCTION OF AUTOPHAGY IN CANCER 6.9268275 447 74.500000
RA 5 DIKIC I;ELAZAR Z 2018 MECHANISM AND MEDICAL IMPLICATIONS OF MAMMALIAN AUTOPHAGY 2.2939484 1081 270.250000
RA 5 YUN CW;LEE SH 2018 THE ROLES OF AUTOPHAGY IN CANCER 6.9336518 332 83.000000
RA 5 LEVINE B;KROEMER G 2019 BIOLOGICAL FUNCTIONS OF AUTOPHAGY GENES: A DISEASE PERSPECTIVE 2.5228538 850 283.333333
RA 5 SINGH SS;VATS S;CHIA A… 2018 DUAL ROLE OF AUTOPHAGY IN HALLMARKS OF CANCER 4.9901034 273 68.250000
RA 5 MAUTHE M;ORHON I;ROCCH… 2018 CHLOROQUINE INHIBITS AUTOPHAGIC FLUX BY DECREASING AUTOPHAGOSOME-LYSOSOME FUSION 1.6021463 758 189.500000
RA 5 AMARAVADI RK;KIMMELMAN… 2019 TARGETING AUTOPHAGY IN CANCER: RECENT ADVANCES AND FUTURE DIRECTIONS 4.1656691 290 96.666667
RA 5 ONORATI AV;DYCZYNSKI M… 2018 TARGETING AUTOPHAGY IN CANCER 4.2480269 260 65.000000
Research Area 6: RA 6
RA 6 WANG J;CAZZATO E;LADEW… 2016 CLONAL EVOLUTION OF GLIOBLASTOMA UNDER THERAPY 5.4943124 373 62.166667
RA 6 LAN X;JÖRG DJ;CAVALLI … 2017 FATE MAPPING OF HUMAN GLIOBLASTOMA REVEALS AN INVARIANT STEM CELL HIERARCHY 5.2600784 185 37.000000
RA 6 SIDDIQUI I;SCHAEUBLE K… 2019 INTRATUMORAL TCF1 + PD-1 + CD8 + T CELLS WITH STEM-LIKE PROPERTIES PROMOTE TUMOR CONTROL IN RESPONSE TO VACCINATION AND CH… 2.1569217 435 145.000000
RA 6 BARTHEL FP;JOHNSON KC;… 2019 LONGITUDINAL MOLECULAR TRAJECTORIES OF DIFFUSE GLIOMA IN ADULTS 5.9127150 136 45.333333
RA 6 REIFENBERGER G;WIRSCHI… 2017 ADVANCES IN THE MOLECULAR GENETICS OF GLIOMAS-IMPLICATIONS FOR CLASSIFICATION AND THERAPY 2.5074670 310 62.000000
RA 6 CAPPER D;JONES DTW;SIL… 2018 DNA METHYLATION-BASED CLASSIFICATION OF CENTRAL NERVOUS SYSTEM TUMOURS 0.7799347 976 244.000000
RA 6 OSUKA S;VAN MEIR EG 2017 OVERCOMING THERAPEUTIC RESISTANCE IN GLIOBLASTOMA: THE WAY FORWARD 3.3898433 223 44.600000
RA 6 ZHAO J;CHEN AX;GARTREL… 2019 IMMUNE AND GENOMIC CORRELATES OF RESPONSE TO ANTI-PD-1 IMMUNOTHERAPY IN GLIOBLASTOMA 2.4367689 302 100.666667
RA 6 LEE J-K;WANG J;SA JK;L… 2017 SPATIOTEMPORAL GENOMIC ARCHITECTURE INFORMS PRECISION ONCOLOGY IN GLIOBLASTOMA 4.8017552 135 27.000000
RA 6 MILLER AM;SHAH RH;PENT… 2019 TRACKING TUMOUR EVOLUTION IN GLIOMA THROUGH LIQUID BIOPSIES OF CEREBROSPINAL FLUID 3.3517043 192 64.000000
Research Area 7: RA 7
RA 7 DONGRE A;WEINBERG RA 2019 NEW INSIGHTS INTO THE MECHANISMS OF EPITHELIAL–MESENCHYMAL TRANSITION AND IMPLICATIONS FOR CANCER 3.6391143 1096 365.333333
RA 7 BRABLETZ T;KALLURI R;N… 2018 EMT IN CANCER 3.3781071 947 236.750000
RA 7 PURAM SV;TIROSH I;PARI… 2017 SINGLE-CELL TRANSCRIPTOMIC ANALYSIS OF PRIMARY AND METASTATIC TUMOR ECOSYSTEMS IN HEAD AND NECK CANCER 2.8949400 801 160.200000
RA 7 CHAFFER CL;SAN JUAN BP… 2016 EMT, CELL PLASTICITY AND METASTASIS 4.5742175 455 75.833333
RA 7 BATLLE E;CLEVERS H 2017 CANCER STEM CELLS REVISITED 1.7005285 1104 220.800000
RA 7 MITTAL V 2018 EPITHELIAL MESENCHYMAL TRANSITION IN TUMOR METASTASIS 4.3118405 420 105.000000
RA 7 PASTUSHENKO I;BRISEBAR… 2018 IDENTIFICATION OF THE TUMOUR TRANSITION STATES OCCURRING DURING EMT 2.5368020 621 155.250000
RA 7 YANG J;ANTIN P;BERX G;… 2020 GUIDELINES AND DEFINITIONS FOR RESEARCH ON EPITHELIAL–MESENCHYMAL TRANSITION 3.2126150 450 225.000000
RA 7 AIELLO NM;MADDIPATI R;… 2018 EMT SUBTYPE INFLUENCES EPITHELIAL PLASTICITY AND MODE OF CELL MIGRATION 4.7016438 267 66.750000
RA 7 KREBS AM;MITSCHKE J;LO… 2017 THE EMT-ACTIVATOR ZEB1 IS A KEY FACTOR FOR CELL PLASTICITY AND PROMOTES METASTASIS IN PANCREATIC CANCER 2.3143584 503 100.600000
Research Area 8: RA 8
RA 8 CECCARELLI M;BARTHEL F… 2016 MOLECULAR PROFILING REVEALS BIOLOGICALLY DISCRETE SUBSETS AND PATHWAYS OF PROGRESSION IN DIFFUSE GLIOMA 4.3809345 1091 181.833333
RA 8 WANG Q;HU B;HU X;KIM H… 2017 TUMOR EVOLUTION OF GLIOMA-INTRINSIC GENE EXPRESSION SUBTYPES ASSOCIATES WITH IMMUNOLOGICAL CHANGES IN THE MICROENVIRONMENT 6.1498295 640 128.000000
RA 8 LIU J;LICHTENBERG T;HO… 2018 AN INTEGRATED TCGA PAN-CANCER CLINICAL DATA RESOURCE TO DRIVE HIGH-QUALITY SURVIVAL OUTCOME ANALYTICS 2.9438780 982 245.500000
RA 8 NEFTEL C;LAFFY J;FILBI… 2019 AN INTEGRATIVE MODEL OF CELLULAR STATES, PLASTICITY, AND GENETICS FOR GLIOBLASTOMA 5.3489606 515 171.666667
RA 8 SEGERMAN A;NIKLASSON M… 2016 CLONAL VARIATION IN DRUG AND RADIATION RESPONSE AMONG GLIOMA-INITIATING CELLS IS LINKED TO PRONEURAL-MESENCHYMAL TRANSITION 8.0277960 105 17.500000
RA 8 HU B;WANG Q;WANG YA;HU… 2016 EPIGENETIC ACTIVATION OF WNT5A DRIVES GLIOBLASTOMA STEM CELL DIFFERENTIATION AND INVASIVE GROWTH 5.3484204 147 24.500000
RA 8 DARMANIS S;SLOAN SA;CR… 2017 SINGLE-CELL RNA-SEQ ANALYSIS OF INFILTRATING NEOPLASTIC CELLS AT THE MIGRATING FRONT OF HUMAN GLIOBLASTOMA 2.0986423 331 66.200000
RA 8 BOWMAN RL;KLEMM F;AKKA… 2016 MACROPHAGE ONTOGENY UNDERLIES DIFFERENCES IN TUMOR-SPECIFIC EDUCATION IN BRAIN MALIGNANCIES 2.4308789 274 45.666667
RA 8 JACOB F;SALINAS RD;ZHA… 2020 A PATIENT-DERIVED GLIOBLASTOMA ORGANOID MODEL AND BIOBANK RECAPITULATES INTER- AND INTRA-TUMORAL HETEROGENEITY 2.9441516 221 110.500000
RA 8 LENTING K;VERHAAK R;TE… 2017 GLIOMA: EXPERIMENTAL MODELS AND REALITY 3.7129078 159 31.800000
Research Area 9: RA 9
NA ESKILSSON E;RØSLAND GV… 2018 EGFR HETEROGENEITY AND IMPLICATIONS FOR THERAPEUTIC INTERVENTION IN GLIOBLASTOMA 7.8965226 100 25.000000
NA GOLEBIEWSKA A;HAU A-C;… 2020 PATIENT-DERIVED ORGANOIDS AND ORTHOTOPIC XENOGRAFTS OF PRIMARY AND RECURRENT GLIOMAS REPRESENT RELEVANT PATIENT AVATARS FO… 6.3115010 24 12.000000
NA PIETZKE M;MEISER J;VAZ… 2020 FORMATE METABOLISM IN HEALTH AND DISEASE 2.5231352 50 25.000000
NA ABSI AA;WURZER H;GUERI… 2018 ACTIN CYTOSKELETON REMODELING DRIVES BREAST CANCER CELL ESCAPE FROM NATURAL KILLER-MEDIATED CYTOTOXICITY 1.8769144 59 14.750000
NA MEISER J;SCHUSTER A;PI… 2018 INCREASED FORMATE OVERFLOW IS A HALLMARK OF OXIDATIVE CANCER 2.4166575 43 10.750000
NA HAN M;WANG S;FRITAH S;… 2020 INTERFERING WITH LONG NON-CODING RNA MIR22HG PROCESSING INHIBITS GLIOBLASTOMA PROGRESSION THROUGH SUPPRESSION OF WNT/B-CAT… 1.2532836 51 25.500000
NA GOBIN M;NAZAROV PV;WAR… 2019 A DNA REPAIR AND CELL-CYCLE GENE EXPRESSION SIGNATURE IN PRIMARY AND RECURRENT GLIOBLASTOMA: PROGNOSTIC VALUE AND CLINICAL… 3.9819838 16 5.333333
NA ESKILSSON E;ROSLAND GV… 2016 EGFRVIII MUTATIONS CAN EMERGE AS LATE AND HETEROGENOUS EVENTS IN GLIOBLASTOMA DEVELOPMENT AND PROMOTE ANGIOGENESIS THROUGH… 1.1877131 53 8.833333
NA TALASILA KM;RØSLAND GV… 2017 THE ANGIOGENIC SWITCH LEADS TO A METABOLIC SHIFT IN HUMAN GLIOBLASTOMA 1.3069107 38 7.600000
NA WHITE K;CONNOR K;CLERK… 2020 NEW HINTS TOWARDS A PRECISION MEDICINE STRATEGY FOR IDH WILD-TYPE GLIOBLASTOMA 4.8347591 9 4.500000

Development

Connectivity between the research areas

Knowledge Bases, Research Areas & Topics

Technical description

In a bibliographic coupling network, the coupling-strength between publications is determined by the number of commonly cited references they share, assuming a common pool of references to indicate similarity in context, methods, or theory. Formally, the strength of the relationship between a publication pair \(i\) and \(j\) (\(s_{i,j}^{bib}\)) is expressed by the number of commonly cited references.

\[s_{i,j}^{bib} = \sum_m c_{i,m} c_{j,m}\]

Since our corpus contains publications which differ strongly in terms of the number of cited references, we normalize the coupling strength by the Jaccard similarity coefficient. Here, we weight the intercept of two publications’ bibliography (shared refeences) by their union (number of all references cited by either \(i\) or \(j\)). It is bounded between zero and one, where one indicates the two publications to have an identical bibliography, and zero that they do not share any cited reference. Thereby, we prevent publications from having high coupling strength due to a large bibliography (e.g., literature surveys).

\[S_{i,j}^{jac-bib} =\frac{C(i \cap j)}{C(i \cup j)} = \frac{s_{i,j}^{bib}}{c_i + c_j - s_{i,j}^{bib}}\]

More recent articles have a higher pool of possible references to co-cite to, hence they are more likely to be coupled. Consequently, bibliographic coupling represents a forward looking measure, and the method of choice to identify the current knowledge frontier at the point of analysis.

Endnotes

All results are preliminary so far…